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Catch this Harvard Business Review article from IBM Champion James Taylor and co-author Michael Ross. The nature of micro-decisions requires some level of automation, particularly for real-time and higher-volume decisions. Automation is enabled by algorithms (the rules, predictions, constraints,...
IBM ILOG CPLEX Optimization Studio is a prescriptive analytics solution that enables development and deployment of decision optimization models and leverages mathematical and constraint programming techniques to drive better business decisions In this product tour, you will walk through the...
IBM Decision Optimization for Watson Studio is used to develop, test, and deploy optimization models. It is an addon to Watson Studio platform, it gives data scientist a common environment where they can develop and deploy machine learning and optimization models. Follow the instructions in...
Check out this blog posted originally on IBM Cloud Blog here: https://www.ibm.com/cloud/blog/announcements/decision-optimization-now-available-in-watson-machine-learning-service ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Decision Optimization Now Available in the Watson Machine...
Data science and machine learning are certainly the hot topics for many in businesses and other organizations. However getting value data science is not always a very easy process. Part of the challenge is ensuring you have the right team and right methodology working on your project. There...
Today we more and more hear about and tend to use Open Source software. In many cases this might be a viable and good choice. Apparently, mathematical optimization (aka math programming, aka decision optimization) usually is not one of those cases. Here is a real client story. The client is a...
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This post was authored by Hans Schlenker, Offering Manager, IBM Decision Optimization Today we are excited to announce the release of IBM Decision Optimization Center 3.9, which includes customer-requested enhancements that will add new value to our mature software platform for planning and...